Skip to main content
All CollectionsHow to use SKU Science
🔄Product Life Cycle Management: How to Manage Product Transitions
🔄Product Life Cycle Management: How to Manage Product Transitions

Learn how to manage product replacements and maintain accurate forecasts.

Updated over a week ago

Easily Manage Product Replacements in the System

You can now seamlessly replace a product with another in the system. This feature is particularly useful when introducing an updated version of an existing product — whether due to packaging changes, new features, recipe adjustments, or the addition of a similar item to your product range.

By linking products together, the new product inherits the historical data from the discontinued one. This ensures continuity and helps compensate for the lack of sales history for the new item, enabling more accurate forecasting from day one.

How to Manage Product Transitions in SKU Science

To set up a product transition, click on the gear icon and navigate to the Product life cycle menu. From there, you can easily manage product replacements and ensure smooth transitions in your forecasting process.

Type in or select the source part number to be replaced from the drop-down menu.

Fill in the end date for the current source product to end the forecast from this period. Then, enter the name for the new target part number, specify a start date and optionally provide its description

Next, choose the conversion ratio (%) and click save.

A conversion ratio of 100% means the new target product will inherit 100% of the historical demand data from the original source product, which will be used to calculate its forecast.

Once saved, a new line will appear displaying the details of the new product.

Forecast Recalculation Required at Aggregate Level

After linking products together, you will receive a warning prompting you to recompute the forecast, as some elements may be missing forecast data.

This step is essential if you compute forecasts at an aggregate level, to ensure the impact of both the source and target products is properly reflected in the forecast.

Click on the warning, a pop-up window appear to launch forecast computation. Make sure the box is ticked and your usual aggregation is selected before clicking Confirm & Launch.

Impact on Source and Target Part Numbers

The source part number is discontinued as of the specified end date. You can find more details about this process in this article.

The target part number becomes active from the indicated start date. Since it is a new product, its initial demand is set to zero due to the absence of sales history. However, demand projections are automatically calculated based on the historical demand of the source product, adjusted by the defined conversion ratio.

Note

  • During the following cycles, the target will generate its own demand, which will accumulate over time. At the same time, the remaining stock from the source will continue to be sold for a certain period.

  • To keep the forecast accurate, the platform will automatically add up the demand data from both the source and the target in the target’s demand adjustment. This ensures that both quantities are taken into account when calculating the target's forecast.

Add Multiple Source Products

If you are replacing several products with a single new product, our platform allows you to link multiple source products easily.

When setting up your new product, simply click on Add Source. An additional line will appear, enabling you to enter the details for each source product. This ensures that the new product inherits the combined historical demand from all sources, adjusted according to each product’s conversion ratio.

Fill in the second source part number, its end date, and the conversion ratio then, click save.

In this example, part number 0011-3b has two source part numbers and will inherit 50% of the historical demand from each of them.

How to Manage Multiple Forecasts for a Single Part Number

If your low-level forecast is composed of multiple fields and the part number is not the lowest level of granularity (for example, part number x location, part number x client, or any other refined combination), our platform will automatically handle this complexity for you and generate the corresponding forecasts for each combination.

In the example below, product 033-2 is sold in three locations: Milan, London, and Madrid.

We plan to replace 033-2 with 033-2b in May 2025. The new product will automatically inherit the same three forecast combinations, corresponding to the existing locations. You can click on the target part number to open a pop-up window displaying the full list of combinations.

If you have any questions or need help setting this up, don’t hesitate to contact us through the messenger — we’re here to support you!

Did this answer your question?